{"id":"W2374940391","doi":"","title":"Anti-interference Design of UAV's Flight Control Software","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interference (communication); Software; Flight management system; Reliability (semiconductor); Control software; Control (management); Flight simulator; Reliability engineering; Simulation; Artificial intelligence; Telecommunications; Operating system; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196043,0.0003101915,0.0002156827,0.0006433995,0.0003025073,0.0004423627,0.0006897506,0.0002869879,0.0009065311],"category_scores_gemma":[0.001252859,0.0002100362,0.0002409682,0.0002276481,0.0002692303,0.0003386808,0.0002006084,0.0002715704,0.0001824979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332461,"about_ca_system_score_gemma":0.0003837647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008578287,"about_ca_topic_score_gemma":0.0008372843,"domain_scores_codex":[0.9994018,0.0001019424,0.00003976505,0.0001020366,0.000298504,0.00005584662],"domain_scores_gemma":[0.9992123,0.0001594618,0.0001478965,0.0001000782,0.0003436936,0.00003652581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000359665,0.0002050801,0.003702472,0.0003523635,0.00009605248,0.0006261471,0.0006693626,0.04921846,0.5310587,0.02087768,0.001351518,0.3914826],"study_design_scores_gemma":[0.0001233255,0.001038336,0.004172077,0.00003702353,0.0001630411,0.0009590154,0.0001177163,0.6627154,0.3097325,0.004734131,0.01617692,0.00003046847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1983928,0.0004647274,0.7910383,0.0001343386,0.0000412848,0.0001152784,0.00002145448,0.00153516,0.00825661],"genre_scores_gemma":[0.8671313,0.0001929032,0.1299435,0.00006596999,0.00002340016,0.00009481631,0.00004116589,0.00008688545,0.002420193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009065311,"threshold_uncertainty_score":0.003032625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00706344942532879,"score_gpt":0.2079014991080768,"score_spread":0.200838049682748,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}